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1,126 results on '"Wang, LingXiao"'

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1. Diffusion models learn distributions generated by complex Langevin dynamics

2. Learning Hadron Emitting Sources with Deep Neural Networks

3. On learning higher-order cumulants in diffusion models

4. Diffusion models for lattice gauge field simulations

5. Building Hadron Potentials from Lattice QCD with Deep Neural Networks

6. The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication

7. Building imaginary-time thermal field theory with artificial neural networks

8. CloudDiff: Super-resolution ensemble retrieval of cloud properties for all day using the generative diffusion model

9. Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning

11. Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs

12. Generative Diffusion Models for Lattice Field Theory

13. Data-integration with pseudoweights and survey-calibration: application to developing US-representative lung cancer risk models for use in screening

19. Diffusion Models as Stochastic Quantization in Lattice Field Theory

20. Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective

21. Exploring QCD matter in extreme conditions with Machine Learning

22. Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks

23. Exploration in Model-based Reinforcement Learning with Randomized Reward

24. Spectrum Analysis of Rail-To-Ground Transition Resistance Based on Lossy Transmission Line Theory

25. Multiple models for outbreak decision support in the face of uncertainty.

26. An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

27. Amplitude/Phase Retrieval for Terahertz Holography with Supervised and Unsupervised Physics-Informed Deep Learning

28. Fourier-Flow model generating Feynman paths

30. Reconstructing the neutron star equation of state from observational data via automatic differentiation

31. Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

32. Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency

45. Representative Pure Risk Estimation by Using Data from Epidemiologic Studies, Surveys, and Registries: Estimating Risks for Minority Subgroups

46. Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

47. GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

48. Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help

49. Neural network reconstruction of the dense matter equation of state from neutron star observables

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